Paper Citation Record · LEDGER

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.02594.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.02594 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:14.925820Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy27
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eddb6e79-de99-459e-93e3-b22268980e0c · outbound

This paper cites Knowledge-guided local search for the vehicle routing problem.Computers & Operations Research, 105:32–46, 2019.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Knowledge-guided local search for the vehicle routing problem.Computers & Operations Research, 105:32–46, 2019

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.521642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b94c6aa-fc12-4c52-88d7-57d0784e3145 · outbound

This paper cites Metaheuristics in combinatorial optimization: Overview and conceptual comparison.ACM Computing Surveys, 35(3):268–308, 2003.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Metaheuristics in combinatorial optimization: Overview and conceptual comparison.ACM Computing Surveys, 35(3):268–308, 2003

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.512939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a65d8acf-d0df-44e7-b590-5b6dd96c6b01 · outbound

This paper cites Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:10.925887Z

Source-reported events for the cited work

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Observation 0d490e67-bb92-4c03-9faf-9076cbc6937a · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, and et al.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, and et al

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.504161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cecc261c-6ed8-48d8-bcb0-e16c6b481942 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Evaluating Large Language Models Trained on Code

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:11.504139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdab2ddf-8792-4f43-8f17-126cc4cad5da · outbound

This paper cites Dorigo and L.M.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Dorigo and L.M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.494961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc73d176-7c61-4a66-bb45-edd44b12fa7f · outbound

This paper cites an unresolved cited work.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:15.485755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a295b18-48bd-4e67-abcb-3e2e29bb86c7 · outbound

This paper cites Metaheuristics in combinatorial optimization.Annals of Operations Research, 140(1):189–213, 2005.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Metaheuristics in combinatorial optimization.Annals of Operations Research, 140(1):189–213, 2005

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.476827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c242ddd4-c3e0-4696-98cd-6c217d988f2c · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.467872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f28ed8ed-0446-4949-aee7-be834ec189d7 · outbound

This paper cites Multi-objective combinatorial generative adversarial optimization and its application in crowdsensing.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Multi-objective combinatorial generative adversarial optimization and its application in crowdsensing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.459051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 380cc477-ef9f-4a50-88c7-b1fc6c242346 · outbound

This paper cites Evolutionary multiob- jective optimization driven by generative adversarial networks (gans).IEEE Transactions on Cybernetics, 51(6):3129–3142, 2021.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Evolutionary multiob- jective optimization driven by generative adversarial networks (gans).IEEE Transactions on Cybernetics, 51(6):3129–3142, 2021

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.450769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1debb238-13cd-499a-a66c-4016b9fdc21c · outbound

This paper cites Self-guiding exploration for combinatorial problems, 2024.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Self-guiding exploration for combinatorial problems, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.440962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e39b277-be1e-4244-81bb-11311e1c41e3 · outbound

This paper cites Large language models for combinatorial optimization of design structure matrix.CoRR, abs/2411.12571, 2024.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Large language models for combinatorial optimization of design structure matrix.CoRR, abs/2411.12571, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:13.050189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2196c5af-5751-46a5-9b23-b8a45d52a153 · outbound

This paper cites Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.432228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6b66a8a-a095-4f6d-b7fa-3df77f307098 · outbound

This paper cites From distribution learning in training to gradient search in testing for combinatorial optimization.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization From distribution learning in training to gradient search in testing for combinatorial optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.421546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68096d72-0c14-41f8-89b3-a8ab03d2dd4f · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Competition-Level Code Generation with AlphaCode

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:13.652465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b34f84a1-4187-4bde-beee-c5139dfa9ef9 · outbound

This paper cites Heuristics for Vehicle Routing Problem: A Survey and Recent Advances.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Heuristics for Vehicle Routing Problem: A Survey and Recent Advances

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:13.707121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d72d4079-a89b-4fe1-a477-9979df88eb09 · outbound

This paper cites Evolution of heuristics: Towards efficient automatic algorithm design using large language model.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Evolution of heuristics: Towards efficient automatic algorithm design using large language model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.411892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8866eda3-d562-4e67-8e09-72a6d72a764a · outbound

This paper cites Algorithm Evolution Using Large Language Model.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Algorithm Evolution Using Large Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:13.855448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002d12ce-6d40-4e8c-b835-43aaba28fc31 · outbound

This paper cites Large language models as evolutionary optimizers.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Large language models as evolutionary optimizers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.402736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2aa224f-fa4a-4712-9b34-8acf442f1b22 · outbound

This paper cites Neural combinatorial optimization with heavy decoder: Toward large scale generalization.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Neural combinatorial optimization with heavy decoder: Toward large scale generalization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.394344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2db41765-abd5-48dd-9108-0b459a4d5292 · outbound

This paper cites McInnes, J.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization McInnes, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.384965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e21eb539-275a-4323-acb0-f9a897b7fc6c · outbound

This paper cites Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.158514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 631cf503-75d8-4c16-ba9b-97d3fd6ec8d7 · outbound

This paper cites A branch-and-cut algorithm for the resolution of large-scale symmetric traveling salesman problems.SIAM Review, 33(1):60–100, 1991.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization A branch-and-cut algorithm for the resolution of large-scale symmetric traveling salesman problems.SIAM Review, 33(1):60–100, 1991

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.377068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 005eb4b9-ac54-4653-8fdb-e8346b9eafe2 · outbound

This paper cites Tsplib-atravelingsalesmanproblemlibrary.INFORMS Journal on Computing, 3(4):376–384, 1991.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Tsplib-atravelingsalesmanproblemlibrary.INFORMS Journal on Computing, 3(4):376–384, 1991

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.368008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a379eae-e12b-45c2-9dbf-9c1e9e5acb60 · outbound

This paper cites Pawan Kumar, Emilien Dupont, Francisco J.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Pawan Kumar, Emilien Dupont, Francisco J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.358439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc515739-378f-485e-a7b6-483246bcb1ec · outbound

This paper cites Pawan Kumar, Emilien Dupont, Francisco J.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Pawan Kumar, Emilien Dupont, Francisco J

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.232006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6ea94c-7237-4be8-a5cd-ba935106928d · outbound

This paper cites Improving Existing Optimization Algorithms with LLMs.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Improving Existing Optimization Algorithms with LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.234556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c729953-e37a-49d5-b369-046e5c2c9731 · outbound

This paper cites Skiscim and Bruce L.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Skiscim and Bruce L

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.344778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a84cbd3f-444c-4327-81c4-50e38f629069 · outbound

This paper cites van Hemert.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization van Hemert

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.336688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4961d94-9c74-43b3-a205-0f0502969284 · outbound

This paper cites Difusco: Graph-based diffusion solvers for combinatorial optimization.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Difusco: Graph-based diffusion solvers for combinatorial optimization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.328904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7a66462-f8ba-4479-804d-4cea24848264 · outbound

This paper cites Unleashing the potential of large language models as prompt optimizers: Analogical analysis with gradient-based model optimizers.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Unleashing the potential of large language models as prompt optimizers: Analogical analysis with gradient-based model optimizers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.320494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6045163f-5017-4794-85d3-f4ea9a04553e · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.458768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d52f0992-163e-45c9-b163-30902f961da7 · outbound

This paper cites an unresolved cited work.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:15.308711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36f662b1-3ea2-44b3-a6d1-dd02aee2717d · outbound

This paper cites Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.584478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation febc5e9a-bb4b-4616-8ad3-32b95a830507 · outbound

This paper cites Generative adversarial training for neural combinatorial optimization models, 2022.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Generative adversarial training for neural combinatorial optimization models, 2022

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.301030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23675df8-0ed5-4e74-9919-c57c398fd77e · outbound

This paper cites Le, Denny Zhou, and Xinyun Chen.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Le, Denny Zhou, and Xinyun Chen

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.293871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d990c001-d51e-4c77-b424-266e4bdc8a15 · outbound

This paper cites Multi-objective evolution of heuristic using large language model.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Multi-objective evolution of heuristic using large language model

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.285900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a830c53-00ed-45aa-a126-d72ae426e16e · outbound

This paper cites Reevo: Large language models as hyper-heuristics with reflective evolution.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Reevo: Large language models as hyper-heuristics with reflective evolution

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.277630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd1e2d75-fdfe-456f-bb96-4b4db5c2eaaa · outbound

This paper cites an unresolved cited work.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:15.269493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b142612-cf2c-414c-a5ef-5b6be0a6e2a8 · outbound

This paper cites Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.887511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb72337b-1d8e-44af-b24f-f842957ff9ec · outbound

This paper cites Can large language models be trusted as black-box evolutionary optimizers for combinatorial problems?CoRR, abs/2501.15081, 2025.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Can large language models be trusted as black-box evolutionary optimizers for combinatorial problems?CoRR, abs/2501.15081, 2025

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:25:15.099099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31a92586-939b-414a-a3bb-d6ea321dd115 · outbound

This paper cites Large language models as commonsense knowledge for large-scale task planning.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Large language models as commonsense knowledge for large-scale task planning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:15.261725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c8dc34b-47d4-40e7-a177-719cf803b459 · outbound

This paper cites an unresolved cited work.

EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:15.253621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.